1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
AGAD: Adversarial Generative Anomaly Detection
Jian Shi, Ni Zhang
Anomaly detection suffered from the lack of anomalies due to the diversity of abnormalities and the difficulties of obtaining large-scale anomaly data. Semi-supervised anomaly dete…
cs.CV2023★ 1 cited
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang +2
Medical imaging often contains critical fine-grained features, such as tumors or hemorrhages, crucial for diagnosis yet potentially too subtle for detection with conventional metho…